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Download or read book Deep Text written by Tom Reamy and published by Information Today. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Deep text is an approach to text analytics that adds depth and intelligence to our ability to utilize a growing mass of unstructured text. In this book, author Tom Reamy explains what deep text is and surveys its many uses and benefits. Reamy describes applications and development best practices, discusses business issues including ROI, provides how-to advice and instruction, and offers guidance on selecting software and building a text analytics capability within an organization. Whether you want to harness a flood of social media content or turn a mountain of business information into an organized and useful asset, Deep Text will supply the insights and examples you'll need to do it effectively." -- Provided by publisher.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Book Synopsis Interpreting Culture by : Joseph D. Lewandowski
Download or read book Interpreting Culture written by Joseph D. Lewandowski and published by U of Nebraska Press. This book was released on 2001-01-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scholars have conducted the study of culture in two general ways: as an observer science, where behavior and world-views are measurable, rational, and subject to impartial examination; and as an interpretive art, where a scholar actually participates in the understanding of cultures. In view of increasingly manifest problems with both stances, Joseph D. Lewandowski proposes an alternative, one that capitalizes on the strengths of both schools of interpretation and in fact underpins the work of major social theorists of the modern era, including Adorno, Foucault, and Bourdieu. Gathering insights from a wide array of anthropologists, archaeologists, and philosophers and applying them to case studies in the United States, Lewandowski develops a practical model of culture and method of interpretation that are built around the concept of "constructing constellations." According to this concept?drawn from the work of Simmel, Kracauer, Benjamin, and Adorno?cultures are made up of social fields, embedded social practices that are continually created and patterned in certain ways, akin to constellations. The constellations of embedded actions and beliefs in different settings, such as ghetto life in New York or the world of boxing in Chicago, are, Lewandowski argues, observable, measurable, and ultimately comparable.
Book Synopsis Deep Comprehension by : Keith K. Millis
Download or read book Deep Comprehension written by Keith K. Millis and published by Routledge. This book was released on 2018-09-25 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of research from the learning sciences into understanding, enhancing, and measuring "deep comprehension" from a psychological, educational, and psychometric perspective. It describes the characteristics of deep comprehension, what techniques may be used to improve it, and how deep levels of comprehension may be distinguished from shallow ones. It includes research on personal-level variables; how intelligent tutors promote comprehension; and the latest developments in psychometrics. The volume will be of interest to senior undergraduate and graduate students of cognitive psychology, learning, cognition and instruction, and educational technology.
Book Synopsis Beware the Deep Dark Forest by : Sue (Author Whiting (Freelance Editor).)
Download or read book Beware the Deep Dark Forest written by Sue (Author Whiting (Freelance Editor).) and published by . This book was released on 2018-10 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beware the deep, dark forest! You should never, ever go in there... Rosie has always followed this rule until the day her pup Tinky goes missing in the woods. So Rosie decides to trek into this dangerous, muddy place. But there are many obstacles along the way - including a huge grey wolf, a ravine of lava and a ferocious troll! Can Rosie find the courage to overcome these dangers and save Tinky?
Download or read book Plain Text written by Dennis Tenen and published by Stanford University Press. This book was released on 2017-06-20 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book challenges the ways we read, write, store, and retrieve information in the digital age. Computers—from electronic books to smart phones—play an active role in our social lives. Our technological choices thus entail theoretical and political commitments. Dennis Tenen takes up today's strange enmeshing of humans, texts, and machines to argue that our most ingrained intuitions about texts are profoundly alienated from the physical contexts of their intellectual production. Drawing on a range of primary sources from both literary theory and software engineering, he makes a case for a more transparent practice of human–computer interaction. Plain Text is thus a rallying call, a frame of mind as much as a file format. It reminds us, ultimately, that our devices also encode specific modes of governance and control that must remain available to interpretation.
Book Synopsis Machine Learning and Deep Learning in Real-Time Applications by : Mahrishi, Mehul
Download or read book Machine Learning and Deep Learning in Real-Time Applications written by Mahrishi, Mehul and published by IGI Global. This book was released on 2020-04-24 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
Book Synopsis Concept-Based Literacy Lessons by : Lois A. Lanning
Download or read book Concept-Based Literacy Lessons written by Lois A. Lanning and published by Corwin Press. This book was released on 2019-01-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: For literacy teachers looking for practical ways to implement a Curriculum and Instruction Model that’s more inquiry-driven and idea-centered, look no further than this book. This resource helps bridge the divide between conceptual curriculum and actionable practice, and provides practical support for teachers implementing Concept-Based literacy lessons. Readers will find Step-by-step help with lesson planning for conceptual understanding and transfer Ideas for supporting inductive learning Classroom Snapshots that showcase familiar literacy practices in Concept-Based classrooms Strategies to promote critical, reflective, and conceptual thinking Model elementary and secondary Concept-Based lesson and unit plans A chapter devoted to answering frequently asked questions
Book Synopsis Text Relevance and Learning from Text by : Gregory Schraw
Download or read book Text Relevance and Learning from Text written by Gregory Schraw and published by IAP. This book was released on 2011-08-01 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do people from similar backgrounds who read the same text construct different meanings? Is there a question behind every reading goal, such that reading is an interactive process of asking and answering of questions? Do people who believe that knowledge is dynamic construct meaning differently than those who believe that knowledge is certain? This volume addresses questions such as these and presents cutting edge research and theory that explores how readers determine text relevance (i.e., the different values they assign to information as they read), how relevance affects understanding, and the implications of these studies for theories of text comprehension. This volume documents in a compelling manner the ongoing international effort to understand how text relevance affects reading and comprehension. Contributing authors represent major academic institutions on three continents and nine countries, demonstrating the multinational interest in text relevance. Why is there so much interest in text relevance? Learners are inundated with unprecedented amounts of information, and increased research regarding how readers process non-traditional texts (e.g., documents on the web) and multiple documents, for example, underscores the importance of understanding how readers determine the relevance of text information for personal, academic, or professional goals, which can enable educators to design learning situations that help learners get the most out of reading.
Book Synopsis Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks by : Arindam Chaudhuri
Download or read book Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks written by Arindam Chaudhuri and published by Springer. This book was released on 2019-04-06 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysed by combining text and visual prediction results. The book’s novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales. Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.
Book Synopsis Natural Language Processing Recipes by : Akshay Kulkarni
Download or read book Natural Language Processing Recipes written by Akshay Kulkarni and published by Apress. This book was released on 2019-01-29 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing. By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. What You Will LearnApply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural language generation problems Who This Book Is ForData scientists who want to refresh and learn various concepts of natural language processing through coding exercises.
Book Synopsis Effective Databases for Text & Document Management by : Shirley A. Becker
Download or read book Effective Databases for Text & Document Management written by Shirley A. Becker and published by IGI Global. This book was released on 2003-01-01 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Focused on the latest research on text and document management, this guide addresses the information management needs of organizations by providing the most recent findings. How the need for effective databases to house information is impacting organizations worldwide and how some organizations that possess a vast amount of data are not able to use the data in an economic and efficient manner is demonstrated. A taxonomy for object-oriented databases, metrics for controlling database complexity, and a guide to accommodating hierarchies in relational databases are provided. Also covered is how to apply Java-triggers for X-Link management and how to build signatures."
Book Synopsis Language and Limits by : Myron C. Tuman
Download or read book Language and Limits written by Myron C. Tuman and published by SUNY Press. This book was released on 1998-01-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a clear and forceful counter-statement about tensions and trends in contemporary English studies, offering at the same time a carefully reasoned critique of rationalistic forces within education and culture generally.
Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.
Book Synopsis Machine Learning for Text by : Charu C. Aggarwal
Download or read book Machine Learning for Text written by Charu C. Aggarwal and published by Springer. This book was released on 2018-03-19 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this textbook is organized into three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. - Domain-sensitive mining: Chapters 8 and 9 discuss the learning methods from text when combined with different domains such as multimedia and the Web. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. - Sequence-centric mining: Chapters 10 through 14 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, text summarization, information extraction, opinion mining, text segmentation, and event detection. This textbook covers machine learning topics for text in detail. Since the coverage is extensive,multiple courses can be offered from the same book, depending on course level. Even though the presentation is text-centric, Chapters 3 to 7 cover machine learning algorithms that are often used indomains beyond text data. Therefore, the book can be used to offer courses not just in text analytics but also from the broader perspective of machine learning (with text as a backdrop). This textbook targets graduate students in computer science, as well as researchers, professors, and industrial practitioners working in these related fields. This textbook is accompanied with a solution manual for classroom teaching.
Book Synopsis Mining Intelligence and Knowledge Exploration by : Rajendra Prasath
Download or read book Mining Intelligence and Knowledge Exploration written by Rajendra Prasath and published by Springer. This book was released on 2014-12-01 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014, held in Cork, Ireland, in December 2014. The 40 papers presented were carefully reviewed and selected from 69 submissions. The papers cover topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence.
Book Synopsis Theoretical Advances and Applications of Fuzzy Logic and Soft Computing by : Oscar Castillo
Download or read book Theoretical Advances and Applications of Fuzzy Logic and Soft Computing written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.
